Data Analyst

Summit Human Capital, LLC

  • HENRICO, VA
  • 30+ days ago

    Highlights

    The ideal candidate will meet the following criteria: Requirements: 4+ years of experience analyzing structured and unstructured data using SQL, SAS, or UNIX. Summit Human Capital is seeking a highly motivated Data Analyst to support our client in a hybrid capacity in Richmond, VA with a Fortune 100 client.

    Numbers & Facts

    LocationHENRICO, VA

    Description

    Summit Human Capital is seeking a highly motivated Data Analyst to support our client in a hybrid capacity in Richmond, VA with a Fortune 100 client. The ideal candidate will meet the following criteria:
    Requirements:

    • 4+ years of experience analyzing structured and unstructured data using SQL, SAS, or UNIX
    • 4+ years of hands-on experience working  AWS environments
    • 4+ years of experience using data visualization tools such as Tableau
    • 4+ years of experience scripting with Python, R, Pyspark
    • Experience building and maintaining data pipelines and ETL processes using SQL, Python, and AWS (e.g., S3, Lambda, Glue, Redshift)
    • Strong communication skills with the ability to collaborate with engineers, product owners, and stakeholders
    • Ability to perform data profiling, validation, and reconciliation to ensure data accuracy
    • Capable of identifying and resolving data quality issues while supporting ongoing data governance efforts
    Desired:
    • Experience managing and building datasets in Snowflake and/or Databricks
    • Prior experience in a financial services or large enterprise environment
    • Familiarity with data privacy, security, and compliance standards
    Responsibilities:
    • Analyze and communicate data insights across cross-functional teams
    • Collaborate with business and technical stakeholders to support critical projects in card modernization
    • Develop dashboards, queries, and real-time visualizations using industry-standard tools
    • Support the transition of external systems to internal infrastructure
    • Enable modernization by leveraging cloud-based data tools and practices
    • Translate business needs into scalable technical data solutions aligned with enterprise goals

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